AI-Driven Lithium-ion Battery Research
Accelerating the discovery of next-generation lithium-ion cathode materials by integrating AI property prediction, high-throughput screening and dopant optimization. Using fine-tuned generative models and structural matrices, we design and filter top-candidate materials to maximize energy capacity and performance.
Active Research Areas
CrystalGen AI
Active
Objective
An advanced materials discovery platform leveraging custom-trained generative AI to accelerate the development of next-generation materials for energy applications. By integrating specialized screening parameters into an automated molecular generation loop powered by diffusion models, the platform dynamically optimizes atomic arrangements for enhanced stability, electrochemical performance, functional properties and assured safety.